Geospatial FM

Wilfred Waters
  • 4.7 (3)
  • CIENCIAS
  • CADA MES

Obsessed with geospatial foundation models, broadcasting in geospatial and compounding via publicly listed geospatial equities.

  1. QuantAgri - predictive agricultural insights

    HACE 6 DÍAS

    QuantAgri - predictive agricultural insights

    Ryan Kmetz is back to talk with us about https://quantagri.substack.com/. This initiative began in January 2026. It is about analyzing satellite data to predict the monthly World Agricultural Supply and Demand Estimates (WASDE) reports. Ryan proposes a novel approach and shares some eye raising stats about lead times and profitability. This episode is inspiration for how we are all equipped to process the world using free data and AI. What can you do with your geospatial basic training? Links to items discussed: SatYield https://www.satyield.com/ Sentinel ESA https://sentinels.copernicus.eu/web/sentinel/copernicus/sentinel-2 Google Earth Engine https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED#description Landsat NASA https://science.nasa.gov/mission/landsat/ Google Earth Engine https://developers.google.com/earth-engine/datasets/catalog/landsat Taylor Geospatial Engine field boundaries Background https://taylorgeospatial.org/agricultural-field-boundaries-mapped-globally-for-the-first-time/ Web app https://fieldsofthe.world/ Field boundaries from Planet https://docs.planet.com/data/planetary-variables/field-boundaries/ ‘As the world turns’ Blackrock geospatial podcast https://www.blackrock.com/us/individual/podcasts/the-bid/geospatial-data Novi https://www.geospatial.fm/p/novi-and-a-new-venture-geospatial

    37 min
  2. Openclaw for Geospatial Monitoring Dashboards and Behavioral Investing

    10 MAR

    Openclaw for Geospatial Monitoring Dashboards and Behavioral Investing

    This was quite the episode! We return for Round 2 with Nelson Roque. He is Assistant Professor of Human Development and Family Studies at Penn State. He walked us through OpenClaw. Nelson is an incredibly useful guest because he is able to cover both podcasts I have run - The Behavioral Investor and this one, Geospatial FM. A significant message from The Behavioral Investor was the effect of delay discounting or hyperbolic discounting. This is the decay in appeal of even fantastic outcomes when there is a significant delay until they happen. A formula is available here and here. Applying the formula shows that receiving a billion dollars in 3 generations, 108 years from now, only feels like $10,000 right now. The feeling decays with delay. There are a couple of ways to defeat hyperbolic discounting. One is episodic future thinking. This is a way to juice the dopamine reward system by a multimodal, multisensory imagining of what one might see, hear, smell, think, touch and feel upon achieving a financial goal. Turns out that, of course, AI has been applied to help here. Another that I came up with is instant, constant feedback about the reduction in amount of money one can pass to the next generation with each spending decision you make. What do I mean? Let's work with the $600 you might splurge on a smartwatch. The US market has compounded at 7% annually, adjusted for inflation and including dividends, the past 150 years. Imagine you are 42 and have a life expectancy of 72. You've therefore got 30 years of compounding $600 at 7% annually. This becomes $4,500 if you invest it in a low cost US market index fund with a 0.05% fee. So, you could enjoy the $600 watch or consider that in splurging on it you are effectively saying to your child you don't want to give them $4,500 when you die. So what I'm proposing is an app to make the effect of long time periods on investing outcomes visible. Please watch the episode as Nelson walks through producing this live with an AGI agent orchestrator called OpenClaw. He also profiles some geospatial situation monitoring apps (e.g. here). These were inspired by the incredible Bilawal Sidhu. He was able to give a geospatial data replay of the Iran strikes: here and here. It is amazing how far we've come since Nelson's sceptical comments in the first episode with Nelson 9 months ago about whether or not we have AGI. Let's check back on his opinion of AGI in another 9 months.

    1 h 6 min
  3. Geoharbor - Hearding the Data Engineering Cats

    1 MAR

    Geoharbor - Hearding the Data Engineering Cats

    Geoharbor is a solution from SketchMyView. It is a way to avoid notebook hell. This is done through all data engineers on a team using a common framework. I recommend a watch to see Rakesh showing it in action.

    52 min
  4. Seerab Technologies on How to Win Uber Tech Prizes

    10 FEB

    Seerab Technologies on How to Win Uber Tech Prizes

    We are privileged today to share an episode with a Pakistani geospatial firm, Seerab Technologies. Zulkifil is a co-founder and has been with the company nearly 10 years. They have their own platform for real estate developers to help customers understand the context of proposed property purchases. He gave a simple example, a property with a large hole in it is hard to spot if you don’t have a terrain map. Seerab provides that to users. He also stepped through a few prizes they have won, including from Uber. Nice to have some lessons learnt from a firm all the way over in Pakistan telling us how product development is done. What was most interesting to hear is the timeless advice he shared applies everywhere. We’re so used to hearing it from Silicon Valley, but his is a story of applying it successfully a world away - Seerab has been in business for years. Finally, Zulkifil talks about doing good. According to Gemini: "The Hajj is one of the world's largest annual gatherings, with over 1.8 million to 2.5 million pilgrims converging on Mecca, Saudi Arabia, for five to six days of rituals. It is a mandatory, once-in-a-lifetime duty for all adult Muslims who are physically and financially capable." One may imagine with so many people scrambling across a relatively small area on foot, in an unfamiliar place, there is a risk of getting lost. So Zulkifil showed us a solution based on listening to Pakistani pilgrims going to the Hajj. Thanks Zulkifil for taking the time!

    35 min
  5. Thoughts on Weather Foundation Models with Alex Merose 3/3

    30 ENE

    Thoughts on Weather Foundation Models with Alex Merose 3/3

    This is episode 3/3 with Alex Merose about his thoughts on weather foundation models. He is a member of the technical staff at Open Athena. In this episode, Alex steps through system characteristics of weather foundation models and how we can approach building them. Toward the end, the episode touches on an example of applying these approaches to a simulation of the Earth’s weather over a period of 800 years. The approaches Alex has been talking about enable the use of a GPU to process this simulation in only one day. We conclude with the values that drive Alex’s work.

    40 min
  6. Thoughts on Weather Foundation Models with Alex Merose 2/3

    21 ENE

    Thoughts on Weather Foundation Models with Alex Merose 2/3

    This is episode 2/3 with Alex Merose about his thoughts on weather foundation models. He is a member of the technical staff at Open Athena In this episode, Alex steps through ML weather models, their history and how they work. Links to items discussed: ECMWF Reanalysis v5 (ERA5): https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5I got fooled by AI-for-science hype—here's what it taught me: https://www.understandingai.org/p/i-got-fooled-by-ai-for-science-hypeheres

    46 min
  7. Thoughts on Weather Foundation Models with Alex Merose 1/3

    13 ENE

    Thoughts on Weather Foundation Models with Alex Merose 1/3

    This is episode 1/3 with Alex Merose about his thoughts on weather foundation models. He is a member of the technical staff at Open Athena. In this episode, Alex steps through the background on doing weather prediction, from early efforts around a century ago to numerical and physics based models. This prepares us for later episodes on machine learning or AI based approaches. Links to items discussed: Pangeo, a community for open, reproducible, scalable geoscience.Alex's Google Scholar profile.Episode with Sergei Nozdrenkov on a coral reef foundation model.Global Climate Data Collaboration: The Intentional Dream by George Dyson.Hurricane Melissa.Arham Ansari on GeoRiskAI.What can a technologist do about climate change.

    29 min
  8. GEOINT and World Models with Mark Munsell

    7 ENE

    GEOINT and World Models with Mark Munsell

    Mark Munsell is Distinguished Fellow of Artificial Intelligence at Lindenwood University and Executive Director at GeoSTL. He is also Former Chief AI Officer at the US National Geospatial-Intelligence Agency. As such, he has rich experience for us to mine. We used it to navigate the AI hype and transition from LLMs to world models. If you want to get an impression of him outside this episide, here he is at SC25 talking about Pixels, Petabytes, Predictions (and Possibilities!): He was also recently published in The Cypher Brief. EPISODE TOPICS: What Mark achieved as an inventor. His reflections on hype cycles after a career in geospatial. Using this experience to examine the meaning of world models. Notable achievements by world model companies. GEOINT use case: Venezuela and the US. Mark's ambitions for St Louis: GeoSTL. How the World Model 500 can help.

    57 min
Ver todo (107)

Calificaciones y reseñas

4.7
de 5
3 calificaciones

Acerca de

Obsessed with geospatial foundation models, broadcasting in geospatial and compounding via publicly listed geospatial equities.

Información

  • Creador
    Wilfred Waters
  • Años de actividad
    2023 - 2026
  • Episodios
    107
  • Clasificación
    Explícito
  • Copyright
    © Wilfred Waters
  • Mostrar sitio web
    Geospatial FM

También te podría interesar